1,669 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" positions in Canada
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interpersonal and communication skills. Knowledge of the provincial post-secondary system, particularly the distributed learning sector, is an asset. Proficient computer skills, including Microsoft Office
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The focus of the Students division is to serve and support the academic and non-academic growth and development of students. Our strength is in our approaches to peer-to-peer learning and student
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networks, machine learning, Markov models and other computational approaches to biology are important. Familiar with analysis and data visualization. Enrolled in an undergraduate degree. Location
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, including MS 365, OneDrive, project management software, online survey software, assessment software, HRIS/FIS, Outlook and the internet, and demonstrated ability to learn new software and systems quickly
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vacancies for this position At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff
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. The Research Methodologist will support data preparation and application of natural language processing (NLP) and other machine learning (ML) methods, including training and deploying large language models (LLMs
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 23/2/2026 Closing Application Date 9/3/2026 OLFM Type Regular Continuous
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infrastructure. Demonstrated experience designing end-to-end data architectures specifically supporting AI and Machine Learning applications.
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team environment. Ability to learn new computer programs and use computers effectively. Ability to exercise tact and discretion. Ability to gather, record, and organize information.
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 hours ago
and work-integrated learning (WIL), providing students with transformative experiential opportunities to apply classroom knowledge in real-world settings. Co-op and WIL experiences allow students